Biomarkers for Alzheimer's disease—preparing for a new era of disease-modifying therapies
H Zetterberg, BB Bendlin - Molecular psychiatry, 2021 - nature.com
Clinical trial results presented in 2019 suggest that antibody-based removal of cerebral
amyloid β (Aβ) plaques may possibly clear tau tangles and modestly slow cognitive decline …
amyloid β (Aβ) plaques may possibly clear tau tangles and modestly slow cognitive decline …
Alzheimer's disease: past, present, and future
Although dementia has been described in ancient texts over many centuries (eg,“Be kind to
your father, even if his mind fail him.”–Old Testament: Sirach 3: 12), our knowledge of its …
your father, even if his mind fail him.”–Old Testament: Sirach 3: 12), our knowledge of its …
[HTML][HTML] Two randomized phase 3 studies of aducanumab in early Alzheimer's disease
S Budd Haeberlein, PS Aisen, F Barkhof… - The journal of …, 2022 - Springer
Background Alzheimer's disease is a progressive, irreversible, and fatal disease for which
accumulation of amyloid beta is thought to play a key role in pathogenesis. Aducanumab is …
accumulation of amyloid beta is thought to play a key role in pathogenesis. Aducanumab is …
Development and validation of an interpretable deep learning framework for Alzheimer's disease classification
Alzheimer's disease is the primary cause of dementia worldwide, with an increasing
morbidity burden that may outstrip diagnosis and management capacity as the population …
morbidity burden that may outstrip diagnosis and management capacity as the population …
Molecular signatures underlying neurofibrillary tangle susceptibility in Alzheimer's disease
Tau aggregation in neurofibrillary tangles (NFTs) is closely associated with
neurodegeneration and cognitive decline in Alzheimer's disease (AD). However, the …
neurodegeneration and cognitive decline in Alzheimer's disease (AD). However, the …
[HTML][HTML] Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks
S Basaia, F Agosta, L Wagner, E Canu, G Magnani… - NeuroImage: Clinical, 2019 - Elsevier
We built and validated a deep learning algorithm predicting the individual diagnosis of
Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) …
Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) …
Heart-brain connections: Phenotypic and genetic insights from magnetic resonance images
Cardiovascular health interacts with cognitive and mental health in complex ways, yet little is
known about the phenotypic and genetic links of heart-brain systems. We quantified heart …
known about the phenotypic and genetic links of heart-brain systems. We quantified heart …
Hierarchical fully convolutional network for joint atrophy localization and Alzheimer's disease diagnosis using structural MRI
Structural magnetic resonance imaging (sMRI) has been widely used for computer-aided
diagnosis of neurodegenerative disorders, eg, Alzheimer's disease (AD), due to its …
diagnosis of neurodegenerative disorders, eg, Alzheimer's disease (AD), due to its …
Automated brain extraction of multisequence MRI using artificial neural networks
F Isensee, M Schell, I Pflueger, G Brugnara… - Human brain …, 2019 - Wiley Online Library
Brain extraction is a critical preprocessing step in the analysis of neuroimaging studies
conducted with magnetic resonance imaging (MRI) and influences the accuracy of …
conducted with magnetic resonance imaging (MRI) and influences the accuracy of …
Dual attention multi-instance deep learning for Alzheimer's disease diagnosis with structural MRI
Structural magnetic resonance imaging (sMRI) is widely used for the brain neurological
disease diagnosis, which could reflect the variations of brain. However, due to the local …
disease diagnosis, which could reflect the variations of brain. However, due to the local …